ArticleActa crystallographica. Section D, Biological crystallography2015
Fully automatic characterization and data collection from crystals of biological macromolecules.
Article in Acta crystallographica. Section D, Biological crystallography, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
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Who cites it
70 citing papers in PubMed.
- Structural Basis for Trivalent Cross-Linking of a Patient-Derived IgE Antibody by the Major Peanut Allergen Ara h 2.0201.Allergy · 2026Article
- Automated workflows for strategy computation and data collection at synchrotron beamlines.Acta crystallographica. Section D, Structural biology · 2026Article
- Hierarchical folding-upon-binding of an intrinsically disordered protein.Nature communications · 2025Article
- Structural and functional characterization of TgGSK3, a druggable kinase in Toxoplasma gondii.Nature communications · 2025Article
- Zymoseptoria tritici Effectors Structurally Related to Killer Proteins UmV-KP4 and UmV-KP6 Inhibit Fungal Growth, and Define Extended Protein Families in Fungi.Molecular plant pathology · 2025Article
- Enhanced capabilities for multi-crystal data collection based on double mesh scans.Acta crystallographica. Section D, Structural biology · 2025Article
- Structural biology at the National Synchrotron Light Source II.Journal of synchrotron radiation · 2025Article
- Current and future perspectives for structural biology at the Grenoble EPN campus: a comprehensive overview.Journal of synchrotron radiation · 2025Review
- Advances in macromolecular crystallography at the Photon Factory: automation from crystallization to structural determination.Journal of synchrotron radiation · 2025Article
- Counter-diffusion studies of human transthyretin: the growth of high-quality crystals for X-ray and neutron crystallography.Journal of applied crystallography · 2025Article
- Structural Biology for Target Identification and Validation.Methods in molecular biology (Clifton, N.J.) · 2025Article
- High-confidence placement of low-occupancy fragments into electron density using the anomalous signal of sulfur and halogen atoms.Acta crystallographica. Section D, Structural biology · 2024Article
- Identifying and avoiding radiation damage in macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2024Article
- A streamlined approach to structure elucidation using in cellulo crystallized recombinant proteins, InCellCryst.Nature communications · 2024Article
- Structural basis of centromeric cohesion protection.Nature structural & molecular biology · 2023Article
- SDU - software for high-throughput automated data collection at the Swiss Light Source.Journal of synchrotron radiation · 2023Article
- Crystal structure of MAB_4123, a putative flavin-dependent monooxygenase from Mycobacterium abscessus.Acta crystallographica. Section F, Structural biology communications · 2023Article
- Rational design of the zonulin inhibitor AT1001 derivatives as potential anti SARS-CoV-2.European journal of medicinal chemistry · 2022Article
- A broadly neutralizing monoclonal antibody overcomes the mutational landscape of emerging SARS-CoV-2 variants of concern.PLoS pathogens · 2022Article
- AMX - the highly automated macromolecular crystallography (17-ID-1) beamline at the NSLS-II.Journal of synchrotron radiation · 2022Article
10 more citing papers are in PubMed but not listed here.
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Considerable effort is dedicated to evaluating macromolecular crystals at synchrotron sources, even for well established and robust systems. Much of this work is repetitive, and the time spent could be better invested in the interpretation of the results. In order to decrease the need for manual intervention in the most repetitive steps of structural biology projects, initial screening and data collection, a fully automatic system has been developed to mount, locate, centre to the optimal diffraction volume, characterize and, if possible, collect data from multiple cryocooled crystals. Using the capabilities of pixel-array detectors, the system is as fast as a human operator, taking an average of 6 min per sample depending on the sample size and the level of characterization required. Using a fast X-ray-based routine, samples are located and centred systematically at the position of highest diffraction signal and important parameters for sample characterization, such as flux, beam size and crystal volume, are automatically taken into account, ensuring the calculation of optimal data-collection strategies. The system is now in operation at the new ESRF beamline MASSIF-1 and has been used by both industrial and academic users for many different sample types, including crystals of less than 20 µm in the smallest dimension. To date, over 8000 samples have been evaluated on MASSIF-1 without any human intervention.
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